App reviews found in app stores can provide critically valuable information to help software
engineers understand user requirements and to design, debug, and evolve software …

Researchers have recently achieved significant advances in deep learning techniques,
which in turn has substantially advanced other research disciplines, such as natural …

In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …

Mobile application (app) reviews contain valuable information for app developers. A
plethora of supervised and unsupervised techniques have been proposed in the literature to …

Recommender systems for requirements are typically built on the assumption that similar
requirements can be used as proxies to retrieve similar software. When a stakeholder …

User reviews of mobile apps provide a communication channel for developers to perceive
user satisfaction. Many app features that users have problems with are usually expressed by …

As IoT systems are given more responsibility and autonomy, they offer greater benefits, but
also carry greater risks. We believe this trend invigorates an old challenge of software …

Context Automatic classification of mobile applications users' feedback is studied for
different areas of software engineering. However, supervised classification requires a lot of …

The proliferation of mobile applications (app) over the past decade has imposed
unprecedented challenges on end-users privacy. Apps constantly demand access to …

Abstract “App stores” are online software stores where end users may browse, purchase,
download, and install software applications. By far, the best known app stores are …